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Asset Metadata Taxonomy Jobs (NOW HIRING)

Build and refine metadata standards, tagging structures, and taxonomy frameworks that improve searchability and consistency across the asset collection. * Partner with marketing, creative, and ...

... metadata schema on EDM. * Work in appropriate tools for taxonomy management, data collection ... tagging of knowledge assets. * Apply knowledge of industry standards for thesauri and ...

Enterprise Metadata Architect

Atlanta, GA · On-site

$66.25 - $85.50/hr

... taxonomy structures. • Establish governance processes for metadata lifecycle management including creation, certification, stewardship, and retirement. • Ensure metadata assets comply with ...

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Asset Metadata Taxonomy information

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$35.5K

$94.1K

$164.5K

How much do asset metadata taxonomy jobs pay per year?

As of Aug 12, 2026, the average yearly pay for asset metadata taxonomy in the United States is $94,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in asset metadata taxonomy roles, and how can they be addressed?

Professionals in Asset Metadata Taxonomy often encounter challenges such as ensuring consistency across large and evolving datasets, integrating disparate metadata standards, and coordinating with multiple stakeholders like IT, content creators, and business units. Addressing these challenges typically involves establishing clear governance frameworks, utilizing robust taxonomy management tools, and maintaining open communication with cross-functional teams. Staying updated on industry best practices and regularly reviewing the taxonomy structure can also help prevent data silos and improve overall asset discoverability.

What is the difference between Asset Metadata Taxonomy vs Asset Data Analyst?

AspectAsset Metadata TaxonomyAsset Data Analyst
Primary FocusOrganizing and classifying asset metadataAnalyzing asset data for insights and reporting
Skills RequiredTaxonomy development, metadata standards, data managementData analysis, statistical skills, reporting tools
Work EnvironmentData management teams, information systemsBusiness units, analytics teams
CertificationsData management, taxonomy certificationData analysis, business intelligence certifications

While both roles involve working with asset data, Asset Metadata Taxonomy focuses on structuring and categorizing metadata for assets, whereas Asset Data Analysts interpret and analyze asset data to support decision-making. Understanding these differences helps organizations assign the right skills to each role.

What skills and qualifications are needed to thrive as an asset metadata taxonomy specialist?

To excel as an Asset Metadata Taxonomy Specialist, you need a strong background in information science, metadata standards, taxonomy development, and data organization, often supported by a degree in library science or a related field. Familiarity with content management systems (CMS), digital asset management (DAM) platforms, and metadata schema tools is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring consistent taxonomy application. These skills ensure accurate asset classification, improve content discoverability, and support efficient information retrieval across digital platforms.

What is an asset metadata taxonomy?

An Asset Metadata Taxonomy is a structured classification system used to organize and categorize digital assets, such as images, videos, documents, and other media, based on their descriptive metadata. This taxonomy helps organizations standardize the way they tag and retrieve assets, making it easier to search for and manage content efficiently. By defining categories, attributes, and relationships, an asset metadata taxonomy ensures consistency, improves discoverability, and supports effective digital asset management across teams and platforms.
More about Asset Metadata Taxonomy jobs
What cities are hiring for Asset Metadata Taxonomy jobs? Cities with the most Asset Metadata Taxonomy job openings:
What states have the most Asset Metadata Taxonomy jobs? States with the most job openings for Asset Metadata Taxonomy jobs include:
Infographic showing various Asset Metadata Taxonomy job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $94,129 per year, or $45.3 per hour.

Associate Director, Content Capabilities & Innovation (DAM, Metadata and Content Intelligence)

Johnson & Johnson

Titusville, NJ • On-site

Full-time

Retirement, PTO

Posted 18 days ago


Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Digital Marketing

Job Sub Function:

Digital Engagement

Job Category:

People Leader

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, Content Capabilities & Innovation (DAM, Metadata and Content Intelligence), to be based in Horsham, PA or Titusville, NJ.

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Purpose: The Associate Director, Content Capabilities & Innovation (DAM, Metadata & Content Intelligence) is a strategic leader responsible for transforming how Johnson & Johnson Innovative Medicine manages, discovers, reuses, and activates content at enterprise scale.

This role serves as the architect of the organization's content intelligence ecosystem, leading Digital Asset Management (DAM), metadata and taxonomy governance, content discoverability, and information architecture capabilities that power omnichannel engagement.

Reporting to the Director, Content Excellence & Innovation, this leader oversees the DAM librarian function and partners across Marketing, Omnichannel, Analytics, Content Operations, Technology, and agency partners to ensure content assets are structured, governed, measurable, and optimized for reuse.

This is a highly visible leadership role with the opportunity to shape enterprise content strategy, drive operational excellence, accelerate AI-enabled content discovery, and establish industry-leading practices in digital asset management and knowledge organization.

Responsibilities Include:

Information Architecture & Digital Asset Management Leadership, Execution & Platform Ownership:

  • Build, lead, and evolve a high-performing team of DAM librarians, metadata specialists, and information management professionals responsible for the stewardship of enterprise content assets.

  • Establish best-in-class practices for cataloging, indexing, taxonomy management, metadata governance, archival strategies, and knowledge organization.

  • Serve as the organization's thought leader in information architecture, librarianship, metadata science, and digital knowledge management, driving content discoverability, reuse, AI readiness, and enterprise content value.

  • Oversee migrations/bulk uploads and ongoing asset health, asset lifecycle management including ingestion, curation, archival, de-duplication, metadata completeness, and quality controls.

  • Ensure proper rights and usage metadata is captured and enforced across all assets

  • Own the end-to-end lifecycle of DAM platform, from initial implementation and configuration through ongoing support and enhancement

  • Serve as business product owner for DAM, managing roadmaps, backlogs, releases, and vendor relationships (e.g. Adobe, Veeva, system integrators)

  • Monitor DAM adoption, performance, usage analytics, and business impact metrics to continuously improve platform value and user engagement.

Taxonomy, Metadata & Tagging Governance:

  • Define and govern enterprise taxonomy frameworks, including controlled vocabularies aligned to channels, audiences, claims, and customer journeys

  • Ensure consistent metadata capture at asset and component levels to support discoverability, reuse, and compliance

  • Lead metadata QA processes, completeness standards, and governance workflows to ensure tagging accuracy and integrity

  • Partner with content creation, operations, and agency teams to embed taxonomy standards within asset development and submission processes

  • Align taxonomy with enterprise data and measurement requirements to ensure interoperability across systems

  • Drive adoption and accountability across operational teams and vendor partners through governance, training, and performance management.

Content Reuse & Asset Optimization:

  • Define and execute enterprise content reuse strategy across brands, channels, and markets

  • Establish reuse KPIs (e.g., reuse rate, duplicate asset reduction, time-to-find) and monitor performance

  • Ensure assets are created with reuse in mind, including modular components, variants, and source files

  • Partner with agencies and brand teams to enforce reusable asset standards and reduce redundant production

  • Drive continuous improvement of asset discoverability and usability through tagging and curation

Content Intelligence & Measurement Enablement:

  • Establish metadata schemas and tagging standards across DAM and connected platforms to support discoverability, reuse, interoperability, and compliance.

  • Lead the evolution of metadata and taxonomy capabilities to support AI-powered search, content recommendation, generative AI.

  • Evaluate emerging technologies and industry best practices in DAM, knowledge management, information retrieval, and content intelligence.

  • Drive innovation initiatives that enhance content discoverability, automation, and operational efficiency.

  • Establish scalable foundations for AI-ready content ecosystems through structured metadata and taxonomy governance.

  • Partner with enterprise technology teams to advance semantic search, automated tagging, knowledge graphs, and intelligent content services.

  • Partner with Analytics and Omnichannel teams to enable reporting on Content performance, Asset effectiveness (message, format, channel), Reuse and duplication

  • Enable integration of content data across paid, owned, and CRM ecosystems for holistic performance measurement

  • Support development of dashboards and performance scorecards by ensuring high-quality, complete, and structured metadata

Cross-Functional Integration & Governance:

  • Influence enterprise content governance decisions across multiple business functions and brands.

  • Partner with Content Operations, Platforms/Product teams (system integrations and requirements), Analytics & Insights (measurement frameworks and KPIs), Brand and Omnichannel teams (adoption and compliance), Agencies (asset creation standards and taxonomy implementation)

  • Provide training and enablement on DAM usage, metadata standards, and governance processes

  • Provide strong leadership, guidance, and mentorship to operational teams including DAM librarians and outsourced vendor partners

  • Establish governance forums, standards, and operating cadences to ensure alignment, adoption, and continuous improvement

  • Act as advocate for data integrity, proactively identifying and resolving gaps in metadata and asset quality

Qualifications / Requirements:

Education:

  • B.S. required; MS/MBA/PhD preferred.

Required:

  • 5+ years of experience in content operations, DAM, marketing operations, or digital asset governance

  • Deep working knowledge in DAM platforms (e.g., Adobe AEM Assets, Veeva Vault) and asset lifecycle management

  • Proven experience designing and governing taxonomy, metadata frameworks, and tagging standards

  • Strong understanding of content creation, approval, and distribution workflows in regulated environments

  • Experience enabling content measurement through metadata, tagging, and analytics integration

  • Experience with: Content technologies (Adobe, Veeva, Figma, etc.) & Marketing analytics, content performance measurement, and data-driven decision-making

  • Ability to connect content structure (taxonomy/metadata) to business outcomes (performance, cost, speed)

  • Analytical mindset with ability to define KPIs and translate data into actionable insights

  • Familiarity with omnichannel marketing ecosystems and content activation

  • Knowledge of content creation-to-approval workflows (MLR) and regulatory expectations in a biopharmaceutical or regulated industry.

  • Exceptional stakeholder management skills with demonstrated success influencing senior leaders and cross-functional teams in a large, matrixed organization.

  • Excellent verbal and written communication; able to create clear component documentation, training materials, and executive presentations.

  • Excellent communication and training skillsrequired

Preferred Qualifications

  • Master's degree in Library & Information Science (MLIS), Information Management, Knowledge Management, Information Architecture, Digital Curation, or related field preferred.

  • Experience leading DAM librarians, metadata specialists, information architects, or knowledge management professionals.

  • Experience designing enterprise taxonomy, ontology, knowledge graph, or semantic metadata frameworks.

  • Experience supporting AI-enabled content ecosystems, intelligent search, or content intelligence platforms.

  • Deep marketing experience in pharmaceutical, biotech, or regulated industries - including brand launches, lifecycle campaigns, and omnichannel content activation.

  • Familiarity with agile product delivery, vendor management, and enterprise technology governance.

  • Demonstrated commitment to learning emerging technologies, such as AI, through exploration, iteration, and applying new tools over time

Other:

  • This role is based in Horsham, PA or Titusville, NJ and may require up to 10% domestic travel

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

#LI-Hybrid

Required Skills:

Preferred Skills:

Cross-Functional Collaboration, Customer Analytics, Customer Engagement, Developing Others, Digital Governance, Digital Marketing, Digital Trends, Digital Visualization, Digital Well-Being, Inclusive Leadership, Innovation, Leadership, Motivating People, Organizational Communications, Organizational Knowledge, Performance Measurement

The anticipated base pay range for this position is :

$122,000.00 - $212,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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